Morning Overview on MSN

New AI model aims to improve seasonal drought forecasts

Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the ...
EurekAlert!

Machine learning tracks methane emissions from orbit

Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales.
EurekAlert!

Automotive sector accelerates carbon footprint reduction with advanced AI and cloud framework

A team of researchers presents a novel interdisciplinary strategy to tackle the complex challenge of Scope 3 emissions within ...
Scientific Research Publishing

Integrating Multi-Agent Reinforcement Learning and Evolutionary Game Theory for Adaptive Virtual Bidding Strategies in Electricity Markets ()

As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...
Analytics Insight

Machine Learning, Stanford University

Stanford University’s Machine Learning (XCS229) is a 100% online, instructor-led course offered by the Stanford School of ...

AI for beginners: A new book unpacks the models, languages, and systems that drive the technology

Excerpted with permission from AI for the Rest of Us: An Illustrated Introduction, Sairam Sundaresan, Bloomsbury India.
IEEE

Comparative Analysis of Accuracy For Predicting Earthquake Occurrence Using Linear Regression Over Poisson Regression

Abstract: In the context of earthquake prediction, the purpose of this study is to evaluate the accuracy of the Linear Regression Algorithm in comparison to Poisson regression. The linear regression ...

Unlocking subsurface geoenergy and storage potential using machine learning

FAYETTEVILLE, GA, UNITED STATES, March 20, 2026 /EINPresswire.com/ -- Using machine learning regression models, we ...

FAQs: Identify a High Quality Vibration Feedback Supplier from China

CHANGZHOU, JIANGSU, CHINA, March 20, 2026 /EINPresswire.com/ -- In the rapidly evolving landscape of human-machine ...
Scientific Research Publishing

Proposal for a Machine Learning Model to Improve Hauling Productivity in an Open-Pit Mine ()

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
IEEE

Design of Cavity Backed Slotted Antenna using Machine Learning Regression Model

Abstract: In this paper, a regression based machine learning model (Lasso) is used for the design of cavity backed slotted antenna. This type of antenna is commonly used in military and aviation ...